Analysis of disyllabic Verb-Object phrases citation tone sandhi patterns in Xiangshan

Data preparations

load("XSTSF_production.RData")
source('functions.R')

f0_all_ct <- f0_all_pre %>% filter(focus_condition == 'ct' ) %>% 
  group_by(speaker) %>% 
  mutate(norm_f0 = scale(log(f0))) %>% 
  ungroup()

f0_di_ct_vo <- f0_all_ct %>% 
  filter(syntax %in% c('V') & diortri == 'di') 
  
f0_di_ct_vo_h <- f0_di_ct_vo %>% filter( grepl('^H', sync_tone1))
f0_di_ct_vo_l <- f0_di_ct_vo %>% filter( grepl('^[LR]', sync_tone1)) 

Initial data inspection

# yinping-initial VO
f0_di_ct_vo_hp <- f0_di_ct_vo_h %>% filter(hist_tone1 == 'yinping')
ggplotly(draw_by(f0_di_ct_vo_hp, 'speaker'), tooltip = c('text', 'x'))

# yinshang-initial VO
f0_di_ct_vo_hs <- f0_di_ct_vo_h %>% filter(hist_tone1 == 'yinshang')
ggplotly(draw_by(f0_di_ct_vo_hs, 'speaker'), tooltip = c('text', 'x'))

# yangshang-initial VO
f0_di_ct_vo_ls <- f0_di_ct_vo_l %>% filter(hist_tone1 == 'yangshang')
ggplotly(draw_by(f0_di_ct_vo_ls, 'speaker'), tooltip = c('text', 'x'))